CASML 2024 Hackathon
Applied AI Track
Join us in building an innovative Retrieval-Augmented Generation (RAG) system that generates responses in an academic fashion. Your challenge is to create a solution that retrieves precise, relevant information from a given database and produces accurate answers with clear references and page numbers for traceability. Show your skills in designing a system that blends efficient retrieval with evidence-based outputs!
Join the Competition on Kaggle
Scientific ML Track
Join us in tackling a critical scientific challenge! This hackathon focuses on modeling the dispersion of a hazardous chemical tracer in an urban environment. Using Physics-Informed Neural Networks (PINNs), participants will develop cutting-edge solutions to solve the Convection-Diffusion equation—a complex mathematical model capturing intricate transport phenomena. It is a great opportunity to explore applications of Scientific ML in environmental monitoring, industrial safety, and emergency planning.
Join the Competition on Kaggle